Even Your Bed Isnât Safe from AWS Outages - Eight Sleep Learns the Hard Way
An AWS outage disrupted Eight Sleep's smart beds, prompting plans for an "outage mode" to enhance system resilience and prevent future connectivity issues.
Updates and recent posts about LangChain..
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Mistral AI Studio Launches: Streamlining AI from Prototype to Production
Mistral AI Studio launches to aid enterprise AI teams in moving from prototypes to production with enhanced infrastructure and governance features.
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GitLab 18.5 Debuts: Boosted Usability and AI-Powered Features
GitLab 18.5 introduces a new panel-based UI and AI-driven tools to enhance usability, streamline workflows, and improve security with features like automated vulnerability triage and Static Reachability Analysis.
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@brooksamybrook gave đž to đ RELIANOID at DevOpsDays Almaty 2025 | 24 October | Almaty, Kazakhstan , 1Â week, 5Â days ago.
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Software Developer, RELIANOID
NEW RELEASE: RELIANOID 8.4 Enterprise Edition is here!
- Weâre excited to announce the launch of RELIANOID 8.4, bringing greater performance, security, and automation to your Application Delivery Infrastructure. - Whatâs new in 8.4: - High-Performance Proxy â Now with HTTP/2 support and Hot Restart for seamless, zero-downtime updates. - Multi-Factor Aut..
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Customer Marketing Manager, Last9
OpenTelemetry Spans Explained: Deconstructing Distributed Tracing
Understand how OpenTelemetry Spans capture, connect, and explain every operation in your distributed system for deeper visibility.
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đ In case you missed it:Incident Response in 2025: Lessons Learned
đ In case you missed it: Our August blog post â âIncident Response in 2025: Lessons Learnedâ â looks back at a summer marked by major cyber incidents, from supply chain disruptions to large-scale data breaches. Discover how AI-driven detection, faster response strategies, and new resilience tools ar..
LangChain supports retrieval-augmented generation (RAG) pipelines through integrations with vector databases, enabling models to access and reason over large external knowledge bases efficiently. It also provides utilities for handling long-term context via memory management and supports multiple backends like OpenAI, Anthropic, and local models.
Technically, LangChain simplifies building LLM-driven architectures such as chatbots, document Q&A systems, and autonomous agents. Its ecosystem includes components for caching, tracing, evaluation, and deployment, allowing seamless movement from prototype to production. It serves as a foundational layer for developers who need tight control over how language models interact with data and external systems.
